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Best AI Agents for Customer Support in 2025: Pros, Cons & Pricing

Ryan Tan

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11 min read
Best AI Agents for Customer Support in 2025: Pros, Cons & Pricing

TL;DR — Best AI agents for customer support

The best AI agent for customer support depends on your team size, support channels and how much automation you need.

  • Respond.io — Best all-rounder for omnichannel support with guardrails, workflows, knowledge-based answers and smooth human escalation

  • Intercom — Great for teams already using Intercom that want a polished AI layer with proactive messaging

  • Zendesk — Strong for enterprises running ticket-heavy workflows that need AI layered into a structured system

  • Kommunicate — Affordable choice for startups and midsize teams that want customizable chatbots with live chat included

  • Ada — Best fit for high-volume industries like travel or retail where quick, no-code deployment matters most

  • Chatbase— Teams that need a fully customizable AI agent built on their internal knowledge

Customer support has always been a balancing act. Customers want instant help, but businesses have limited capacity and human agents to handle it. Enter AI agents: not just chatbots that spit out canned replies, but digital teammates that actually get work done. Think of them less like an FAQ answering machine and more like a helpful support rep who never sleeps, never forgets and doesn’t ask for a raise.

In our post below, we’ll break down what customer support AI agents are, why they matter, the features that separate the best from the rest and our pick of the top contenders for customer support in 2025!

What are AI agents for customer support?

First, let’s clear up some language. Customer service and customer support often get mixed up. Service is broad: handling inquiries, building relationships, guiding purchases. Support is narrower: helping customers fix problems, navigate issues or get unstuck.

In this context, an AI agent is more than an AI chatbot. Instead of just replying with prewritten lines, it behaves like a real teammate. It can manage conversations end-to-end, update customer records, trigger follow-up tasks and know the right time to bring in a human.

This is why AI agents aren’t just chatbots. Chatbots live on scripts and decision trees, which makes them inflexible. AI agents, on the other hand, understand natural language, pull from customer data and adapt in real time. They can resolve issues on their own, and when they can’t, they hand the conversation to a human without making the customer repeat everything.

What are the benefits of using AI agents for customer support

AI agents bring a lot more to the table than quick replies. They lighten the load for your team, keep customers happy and cut out the repetitive grind that makes support a slog.

Image depicting the benefits AI agents offer for customer support.

Here’s what they actually deliver:

Speed without burnout

Customers want answers fast. AI agents can jump on routine requests immediately, cutting wait times from hours to seconds. Your human agents stop drowning in repetitive “where’s my order” questions and focus on cases that actually need judgment. That means happier customers, fewer backlogs and a team that can focus on more pressing tasks.

Consistency across the board

Humans vary in tone and accuracy. AI agents deliver the same level of service 24/7, whether it’s 2pm or 2am. That consistency builds trust. It also helps shape your brand voice, since customers experience the same tone and clarity every time.

Lower costs without lowering quality

Hiring and training a big team is expensive. AI agents scale easily, so you can support more customers without ballooning payroll. The additional savings can be reinvested into training your human agents for complex work where they add the most value.

Smarter decisions with better data

AI agents don’t just chat aimlessly. They can be trained on your knowledge base, FAQs and past conversations so they pull answers from the same sources your human team uses. Instead of copy-pasting generic replies, they reference your actual policies and product details. The result is sharper, more reliable answers that stay up to date as your knowledge base grows.

Multilingual support made simple

Need to support Spanish speakers in Madrid, Malay speakers in KL and French speakers in Montreal? Many AI agents can handle multilingual support out of the box. That’s global scale without hiring a mini-UN. It also signals to customers that you respect their language and culture, which builds loyalty faster than a discount code.

Turn customer conversations into business growth with respond.io. ✨

Manage calls, chats and emails in one place!

Key features behind the best AI Agents for customer support

When it comes to something as high-tech as AI Agents, it’s easy to get distracted by buzzwords and flashy demos. But you need to see the forest through the trees: the real litmus test is simply "will this make my team's life easier?

Image depicting some of the key features any AI agent needs for customer support.

So when evaluating the best possible AI Agent for your business, keep an eye out for the following features:

  • Takes action automatically: Strong AI agents don’t just reply, they act. They can qualify a lead, send a booking link, update contact details or trigger a follow-up automatically.

  • Knowledge-driven answers: The most reliable AI agents are trained on your own knowledge base, help center articles or uploaded documents. This keeps answers accurate and tailored to your business, instead of relying on guesswork.

  • Unified multichannel inbox: Customers don’t limit themselves to one app. The best AI agents handle conversations from WhatsApp, Messenger, TikTok, email and even voice calls in a single inbox, with context from past interactions intact.

  • Smart escalation: No AI agent can solve every problem. What matters is a smooth handoff, where the agent passes the full conversation and history to a human so the customer doesn’t have to start over.

  • Audio, image and file understanding: Advanced agents can even interpret audio, screenshots, PDFs, invoices and other various attachments to speed up troubleshooting and cut down on back-and-forth.

  • Guardrails for safety and compliance: Good AI agents put limits in place to reduce errors, follow business rules and protect sensitive data. This ensures AI Agents can be trusted in real customer conversations.

  • Always-on reliability: Customers expect 24/7 help. The best AI agents deliver consistent uptime and performance, so support doesn’t stop when your team signs off.

6 Best AI Agents for Customer Support in 2025

The market is crowded with tools that all promise smarter, faster support. Some really do the job, others, not quite. To save you the trouble of wading through endless vendor pages, here’s a closer look at six platforms that actually stand out in 2025.

Platform

Channels supported

AI Agent features

Pricing (mid-tier)

Best for

Respond.io

WhatsApp, Messenger, Instagram, TikTok, Telegram, Instagram, LINE, email, VoIP and more

Role-based AI agents, AI agent voice calls, AI agent follow up, smart routing, Lifecycle view, Test AI Agent, workflow automation, CRM integrations, enterprise safeguards

Growth plan from $159/month for 10 users with unlimited AI agent usage and advanced automation

Brands juggling high chat volume across multiple apps who need reliable, omnichannel coverage

Intercom

In-app messenger, email, WhatsApp, Messenger

Fin AI answers from help docs, multilingual support, screenshot reading, proactive messaging, seamless escalation

Advanced plan starts at $99 per seat/month; Fin billed separately at $0.99 per resolution

SaaS companies already invested in Intercom’s ecosystem wanting a polished AI layer

Zendesk

WhatsApp, LINE, Facebook, X, email

AI agents and copilot for ticketing, Answer Bot, generative replies, routing & prioritization

Suite Professional plan costs $149 per agent/month

Enterprise teams structured around tickets and complex workflows

Kommunicate

WhatsApp, Messenger, SMS

No-code FAQ bot, NLP integrations (e.g., Dialogflow), templates, multilingual support, human handoff

Professional plan at $200/month (includes 2 AI agents and 2,000 conversations). Extra agents $30/month

Budget-conscious startups and midsize teams that want a quick setup with customization potential

Ada

Web, app integrations, messaging channels (varies by deployment)

No-code flow builder, multilingual support, transactional query handling, scalable automation

Custom usage-based pricing is  provided on request after consultation

High-volume industries like travel and retail where fast, repetitive support dominates

Chatbase

WhatsApp, Messenger, Instagram, Telegram, SMS, Email and more

Trains on your content, runs API actions, multilingual, analytics, human handoff

Standard plan costs $150/month with 12k messages, 2 agents, 10 actions each, 3 seats

Teams wanting a flexible AI agent built on their own data

Respond.io

Best for: Companies that want powerful AI agents with guardrails, workflows and omnichannel coverage in one place.

Respond.io is built for teams that want AI agents to feel like real teammates. Instead of just chatting and answering simple questions, these agents can act on workflows, read customer attachments, pull from your FAQs or PDFs and pass issues to a human when needed. Everything runs inside a shared inbox across all the channels customers use, from TikTok to VoIP to WhatsApp.

Pros

  • Omnichannel inbox that unifies WhatsApp, Messenger, Instagram, TikTok, Telegram, email, VoIP and more

  • Handle WhatsApp and Telnyx voice calls with human or AI agents.

  • Drag-and-drop automation builder for auto replies, reminders, surveys and escalations

  • AI Agents that can qualify leads, resolve questions, understand files and escalate to humans

  • Test AI Agent feature so teams can trial conversations before going live

  • Fast and accurate AI performance thanks to a streamlined, step-based reasoning system.

  • Instant human takeover with the AI stopping immediately, ensuring clean handoffs across all modules.

  • Extensive integrations with CRMs like HubSpot, Salesforce and others

  • AI-powered reply suggestions to speed up routine responses

  • Clear pricing with no hidden fees or add-ons

  • Always-available support team with live chat, onboarding assistance and calls when needed

  • GDPR and ISO 27001 certified, backed by 99.999% availability

Cons

  • Broad feature set means there’s a learning curve before teams unlock full value

Pricing

Respond.io's growth plan is priced at $159 per month. It offers seats for 10 users along with unlimited AI agent usage and access to advanced automation.

Intercom

Best for: Companies already on Intercom that want a no-frills AI agent added in

Intercom has long been known for its clean chat interface and proactive messaging. Its AI agent, Fin, is designed to answer questions using your help center, with support for multiple languages and even screenshots. It is polished and fits neatly into Intercom’s broader suite of tools.

Pros

  • Pulls answers from multiple knowledge sources through a central hub

  • Multilingual support with auto detection and translation

  • Easy handoff to human agents inside the same chat window

  • Clear usage-based pricing per resolution

Cons

  • It can get expensive with high-resolution volume

  • Answer quality depends heavily on how good your knowledge is

Pricing

Intercom’s Advanced plan begins at $99 per seat each month, with the Fin AI Agent charged separately at $0.99 per resolved conversation.

Zendesk

Best for: Large teams that live in ticketing systems and need AI layered into existing workflows.

Zendesk has been around for years as the ticketing giant of customer support. Its AI features now include autonomous agents, an AI copilot and quality tools that sit on top of its existing ticketing and messaging system. It is trusted by enterprises and comes with a wide marketplace of integrations.

Pros

  • AI agents and copilot built into core ticketing and messaging

  • Intelligent routing and prioritization for large teams

  • Answer Bot deflects repetitive tickets with knowledge base articles

  • Chat summaries and AI-assisted responses

Cons

  • AI features often sit in higher tiers or as add-ons

  • The setup and interface can feel heavy for smaller teams

  • Costs rise quickly if you want the full AI suite

Pricing

At $149 per agent each month, Zendesk’s Suite Professional plan provides access to AI agents, generative responses and flexible reporting tools.

Kommunicate

Best for: Startups or midsize teams that want affordable chatbots with room to customize.

Kommunicate blends live chat with AI bots and gives you the option to use its builder or bring your own NLP like Dialogflow. It is priced to be accessible for startups and midsize businesses. With templates for quick deployment and human handoff built in, it makes automation approachable without feeling overwhelming.

Pros

  • Connects with external NLP like Dialogflow

  • No-code builder and templates for fast setup

  • Can train on articles, PDFs and webpages

  • WhatsApp, Messenger, SMS support

  • Smooth AI agent-to-human handoff

Cons

  • Analytics are basic compared to enterprise tools

  • Advanced customization may need technical input

  • Integration library is smaller than more established platforms like respond.io or Intercom

Pricing Kommunicate’s Professional plan is $200 per month, covering 2 AI agents and 2,000 conversations. Extra agents can be added for $30 each per month.

Ada

Best for: High-volume businesses that want to roll out AI quickly without engineers.

Ada is a no-code AI platform built for speed. It is popular with high-volume industries like travel and retail where customers ask the same questions again and again. Non-technical teams can set up flows quickly, deflecting routine queries and freeing agents for more complex cases.

Pros

  • Simple no-code builder for fast deployment

  • Strong multilingual support out of the box

  • Handles repetitive and transactional queries well

  • Designed to scale in industries with massive customer volumes

Cons

  • Less flexible for complex workflows or custom logic

  • Pricing is not public and are typically sales negotiated

  • Performance depends on the quality of your knowledge sources

  • Lighter on broader contact center features compared to larger suites

Pricing

Ada uses a custom, usage-based pricing model that scales with your customer contact volume rather than fixed tiers. Exact costs aren’t public and are typically provided only after a sales consultation.

Chatbase

Best for: Businesses that want a customizable AI support agent trained on their own data

Chatbase lets you build and deploy AI agents for channels like Instagram, Slack and WhatsApp, trained on your knowledge base, documents,and APIs. Unlike basic chatbots, it supports “Custom Actions,” so your agent can do things like fetch invoices, update records, or trigger workflows. It’s flexible, no-code friendly, and works across multiple support channels.

Pros

  • Train agents on your own docs, URLs, or uploads for domain-specific answers

  • Custom Actions let agents complete tasks through APIs, not just reply

  • Integrates with CRMs and ticketing systems, plus supports human handoff

  • Provides analytics and feedback to improve performance

  • Transparent add-on pricing for credits, bots, and branding

Cons

  • Credit-based usage can make costs unpredictable at high volume

  • White labeling and custom domains cost extra

  • Limited number of agents per plan without paying for extra upgrades

  • Complex industries may require engineering beyond built-in features

Pricing

Chatbase's Standard plan costs $150/month and includes 12,000 message credits, 2 AI agents, 10 AI Actions per agent, and 3 team seats.

Which is the best AI agent for customer support?

Most AI agents force you to compromise. Some are great at holding conversations but weak at actually doing things. Others automate workflows but lack the customer context that makes support feel personal.

Respond.io bridges that gap. It gives your team a single platform where AI agents act like real teammates, managing conversations, updating records, triggering workflows and looping in humans at the right moment. That means less tool switching, faster resolutions and more time spent helping customers instead of chasing details.

Here’s what makes respond.io stand out:

  • Omnichannel AI agents that resolve issues by checking orders, sending booking links or updating customer info directly in chat

  • VoIP and WhatsApp API calling support, so your team can switch from chat to voice while keeping the full conversation context.

  • Lifecycle tracking to qualify prospects, follow up and prioritize high-value leads

  • Detailed reporting that breaks down resolution rates, customer satisfaction and team performance

  • Always-on reliability so customers get timely support in any channel and time zone

Respond.io is the best AI agent for customer support because it does more than talk. It solves problems and keeps your team focused on what matters most.

Turn customer conversations into business growth with respond.io. ✨

Manage calls, chats and emails in one place!

FAQs about AI agents for customer support

How do I train the AI agent with my own FAQs, website pages, PDFs or past chat transcripts?

Most modern AI agents can be trained on your own sources like FAQs, website pages, PDF guides or past transcripts. On respond.io, you can connect these materials directly, ensuring the agent only references your approved content for accurate and tailored replies.

The AI is “hallucinating” or giving answers that aren’t in my sources. How do I stop that?

Hallucinations happen when an AI tries to answer outside its knowledge base. To prevent this, respond.io lets you disable “reply outside knowledge sources” so it only responds from your uploaded material. Keeping docs updated and adding clear examples also reduces errors.

Can the AI collect multiple pieces of information, like name, email and order ID, in one shot instead of one by one?

Yes, advanced AI agents can capture multiple fields in a single turn. With respond.io, you can define the data points you need, and the agent will gather them together and sync them into the customer record automatically.

Does the AI agent understand voice notes, images or other non-text inputs?

Some AI agents can process non-text inputs like images or documents. Respond.io supports screenshots, receipts and invoices, allowing the AI to interpret them and speed up resolutions when customers can’t type everything out.

Can the AI automatically tag contacts, update fields or trigger other workflows after it answers?

AI agents can often integrate with workflows to reduce manual work. On respond.io, the agent can tag contacts, update CRM fields, trigger surveys or route chats once it replies, keeping systems updated without extra effort.

What’s the best way to route to a human agent or close the chat once the AI is done?

The ideal setup is a smooth handoff to a human or a clean closure when the case is resolved. Respond.io ensures the full chat history is passed along so customers don’t repeat themselves, and the AI can also close chats, summarize outcomes and apply tags for reporting.

Can AI agents handle multiple languages and time zones reliably?

Yes, most platforms support multilingual and round-the-clock availability. Respond.io AI agents can converse in different languages and stay available 24/7, helping businesses serve global customers without extra staffing.

How much do AI agents cost?

Pricing varies by platform, often based on usage or features. Respond.io charges by the number of automated conversations, giving small teams flexibility and enterprises predictable scaling.

Will AI agents replace human support agents?

No, AI agents are meant to complement human teams, not replace them. They handle repetitive or transactional queries while people manage complex or sensitive cases. Respond.io is built around this balance, letting AI cover the routine so humans can focus on higher-value work.

Can AI Agents answer business calls?

Yes, AI agents can answer voice calls if you use the right tool. On respond.io, you can configure the AI agent’s voice, add instructions and test the experience before going live. This gives you full control over how calls are handled. Unlike standalone voice bots, respond.io’s AI Voice Agent is fully integrated into a unified inbox, allowing businesses to manage messaging and voice interactions in a seamless thread with every customer, with shared logs and reporting.

How can I use AI Agents to follow up on customer conversations?

If conversations are left hanging pending a customer’s response, you can set your AI Agent to nudge them with a relevant follow-up question. For example, respond.io’s AI Agent goes beyond simple time-based nudges or workflow triggers. It uses conversation history to understand its context and determines when and how to follow up. This understanding helps it avoid contacting customers whose issues are already resolved, and to send personalized, human-like nudges at the right time.

Can AI Agents understand and respond to audio messages?

Yes. Respond.io’s AI Agents can now process voice notes and audio recordings sent by customers across supported messaging channels. The platform automatically transcribes audio into text and integrates it directly into the AI Agent’s conversation context. This means the AI can understand the intent, nuance, and details of spoken messages and respond naturally, maintaining a seamless conversational flow, whether the customer prefers typing or speaking.

This feature is especially valuable for voice-first users, common in regions like the US, LATAM and Southeast Asia, where people frequently communicate via voice notes.

How can AI Agent chats feel less robotic and more human?

AI Agents on respond.io hold natural, human-like conversations by understanding intent, context and tone, not just following scripts. They chat fluidly across WhatsApp, Messenger, Instagram, TikTok and more, drawing context from conversation history and responding according to your rules or criteria.

To make them sound even more human:

  • Define an AI persona with a tone that fits your brand.

  • Use typing indicators to mimic real response pauses.

  • Add short reply delays to avoid instant, bot-like answers.

  • Feed it quality sources so responses are accurate and contextual.

  • Allow human handoff for complex or sensitive topics.

The result: fast, natural conversations that feel genuinely human — even when they’re not.

Further reading

If you found our article helpful, you should check out the following reads:

  

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Ryan Tan
Ryan Tan
Ryan Tan, a London School of Economics (LSE) law graduate, is a Senior Communications Strategist at respond.io. With his B2B tech marketing and Big 4 experience, he strives to create content that both educates and entertains tech-savvy audiences. Ryan specializes in demystifying business messaging, providing readers with practical insights that pave the way to robust growth.
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